ZivaHub + Deakin Research Online + DMU Figshare + HKU DataHub + Swinburne Figshare + DaYta Ya Rona + SUNScholarData + figshare + Loughborough Research Repository + GRANTS Data + UP Research Data Repository2026 · Astronomical catalogue
Dataset for "Physics-Informed Super-Resolution for Two-Phase Multi-scale Reservoir Simulation"<p dir="ltr">This item contains the data sets for the paper "Physics-Informed Super-Resolution for Two-Phase Multi-scale Reservoir Simulation" (Li, Aslam, Ma, Wang, Yan).</p><p dir="ltr">The data are two-phase (oil-water) water-flooding simulations of a 10,000 x 10,000 x 10 ft channelized reservoir, generated with the CMG IMEX simulator on a coarse (20 x 20) and a fine (100 x 100) grid. Each case
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Molecular Insights into the Effect of Nanoscale Surface Roughness on CO<sub>2</sub> Hydrate Nucleation: Implications for Carbon SequestrationHydrate-based CO<sub>2</sub> sequestration is a promising carbon storage technology, but its practical application is hindered by slow formation kinetics. Understanding the nucleation mechanism at a molecular level is crucial for optimizing this process. Herein, systematic microsecond molecular dynamics simulations are employed to investigate the effect of nanoscale surface roughness on CO<sub>2</
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Molecular Insights into the Effect of Nanoscale Surface Roughness on CO<sub>2</sub> Hydrate Nucleation: Implications for Carbon SequestrationHydrate-based CO<sub>2</sub> sequestration is a promising carbon storage technology, but its practical application is hindered by slow formation kinetics. Understanding the nucleation mechanism at a molecular level is crucial for optimizing this process. Herein, systematic microsecond molecular dynamics simulations are employed to investigate the effect of nanoscale surface roughness on CO<sub>2</
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Molecular Insights into the Effect of Nanoscale Surface Roughness on CO<sub>2</sub> Hydrate Nucleation: Implications for Carbon SequestrationHydrate-based CO<sub>2</sub> sequestration is a promising carbon storage technology, but its practical application is hindered by slow formation kinetics. Understanding the nucleation mechanism at a molecular level is crucial for optimizing this process. Herein, systematic microsecond molecular dynamics simulations are employed to investigate the effect of nanoscale surface roughness on CO<sub>2</
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Molecular Insights into the Effect of Nanoscale Surface Roughness on CO<sub>2</sub> Hydrate Nucleation: Implications for Carbon SequestrationHydrate-based CO<sub>2</sub> sequestration is a promising carbon storage technology, but its practical application is hindered by slow formation kinetics. Understanding the nucleation mechanism at a molecular level is crucial for optimizing this process. Herein, systematic microsecond molecular dynamics simulations are employed to investigate the effect of nanoscale surface roughness on CO<sub>2</
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Molecular Insights into the Effect of Nanoscale Surface Roughness on CO<sub>2</sub> Hydrate Nucleation: Implications for Carbon SequestrationHydrate-based CO<sub>2</sub> sequestration is a promising carbon storage technology, but its practical application is hindered by slow formation kinetics. Understanding the nucleation mechanism at a molecular level is crucial for optimizing this process. Herein, systematic microsecond molecular dynamics simulations are employed to investigate the effect of nanoscale surface roughness on CO<sub>2</
figshare + Loughborough Research Repository2026 · Astronomical catalogue
Molecular Insights into the Effect of Nanoscale Surface Roughness on CO<sub>2</sub> Hydrate Nucleation: Implications for Carbon SequestrationHydrate-based CO<sub>2</sub> sequestration is a promising carbon storage technology, but its practical application is hindered by slow formation kinetics. Understanding the nucleation mechanism at a molecular level is crucial for optimizing this process. Herein, systematic microsecond molecular dynamics simulations are employed to investigate the effect of nanoscale surface roughness on CO<sub>2</
Teesside University Research Data Repository2026 · dataset
Numerical Study on Infill Fracturing of Mature Wells under Free-Drainage Boundary ConditionsData of "Numerical Study on Infill Fracturing of Mature Wells under Free-Drainage Boundary Conditions"
REDU - Unicamp Institutional Research Data Repository2026 · dataset · unknown
3D geological uncertainty dataset and models for proxy-based uncertainty quantification in oil reservoir simulationsThis dataset supports the doctoral research entitled “Model Uncertainty Quantification to Improve Oil Reservoir Simulations”. It includes numerical reservoir simulation outputs, proxy model predictions, dimensionality-reduced geological representations, reconstructed 3D geological properties, and uncertainty quantification results obtained using deep learning models. The data were generated from a
Teesside University Research Data Repository2025 · dataset
Dataset for the Connectivity BridgeThis dataset contains well data including core, structure map, composite log, porosity, and permeability for selected wells in the North Brae field, UKCS. The simulation results are for the facies continuity scenarios considered, as defined by the connectivity bridge in the channel-splay lobe region of the field. All data cannot be used without permission from the author and Marathon Oil Company.
DaRUS2025 · dataset · unknown
The 11th SPE Comparative Solution Project: Submitted DataData submitted to the 11th Society of Petroleum Engineers Comparative Solution Project. Contains the sparse and dense data files of 77 results submitted by 18 participating groups for three cases SPE11A-C. Each zip file contains one such result, where the name speX_NAMEY.zip indicates Result Y for Case SPE11X of Participant NAME. Unpacking a result file yields one sparse data file speX_time_series
Teesside University Research Data Repository2020 · dataset
Data for: Numerical modelling and field experimental test of the axial load transfer on the drill-strings in high deviated wellsAll the data is about the simulation and experiment data, which is shown in the manuscript.
Teesside University Research Data Repository2019 · dataset
Data for: Design and application of foamed spacer to mitigate annular pressure induced by fluid thermal expansionThe raw data of some key figures and tables are provided. In each file, annotations are provided to give more information, including the source of raw data, the process of calculation, and raw figures. In the provided data files, figures plotted by Excel are presented. But, in the manuscript, figures are plotted by OriginPro to obtain clearer figures.
Teesside University Research Data Repository2019 · dataset
Data for: Development of Inflow Performance Model in High Temperature Gas-Condensate Reservoirs.This data is the result of compositional simulation of a high temperature gas condensate well on PIPSIM simulator.
Teesside University Research Data Repository2019 · dataset
Experimental Data from: Quantifying the Effects of Gaseous Pore Pressure and Net Confining Stress on Low-Permeability Cores Using the "RaSSCAL" Steady-State PermeameterThe files are in csv format with column headers. The columns of data contain upstream pressures (p_u), confining pressures (p_c), and downstream pressures (p_d) all in psig. There is also a column of temperature (T) in degrees F and of downstream pressure slopes (pd_dot) in psi/sec. The name of each data file (e.g., bedford_ch4_exp.txt) indicate which sample was tested (e.g., bedford) with which f
Teesside University Research Data Repository2019 · dataset
Data for: The Effectiveness of Different Thresholding Techniques in Segmenting Micro CT Images of Porous Carbonates to Estimate PorosityTehranU-MinEng-GeoScienceLab-CarbonateMCT-5um-V001 Tehran University- Mining Engineering College Geoscience Laboratory The database contains XCT images of Carbonate samples from an oil field located in Persian Gulf. The resolution of the images is 5 micron. The size of images is 998*1011 pixels. Only a few of all the available images, along with their segmented equivalents are provided here. Provi
DataCite2014 · collection · unknown
Geochemical reaction modeling of carbon dioxideRecently, the need to decrease CO 2 concentration in the atmosphere has been recognized because of the role of CO 2 as a greenhouse gas that contributes to global warming. Carbon Capture and Sequestration CO 2 is one of the most promising long term solutions for the reduction of CO 2 in the atmosphere. To this end, injection of CO 2 into saline aquifers has been proposed and investigated theoretic